Searching journal content for articles similar to Davis et al. 34 (6): 925.

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Method: Deep structural clustering reveals hidden systematic biases in RNA sequencing data
- Qiang Su,
- Yi Long,
- Deming Gou,
- Junmin Quan,
- Xiaoming Zhou,
- and Qizhou Lian
Genome Res. November 2025 35: 2563-2577; Published in Advance September 19, 2025, doi:10.1101/gr.280713.125
...specific positions where bases (A, U, C, or G) were incorporated randomly during synthesis. Therefore, the unique combinations of nucleotides at these eight variable positions are the fundamental determinants of the sequence identities that UMAP differentiates into the observed clusters. Further inspection...
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Method: Recalibrating differential gene expression by genetic dosage variance prioritizes functionally relevant genes
- Philipp Rentzsch,
- Aaron Kollotzek,
- Kaushik Ram Ganapathy,
- Pejman Mohammadi,
- and Tuuli Lappalainen
Genome Res. October 2025 35: 2316-2325; Published in Advance September 17, 2025, doi:10.1101/gr.280360.124
...testing itself to account for general population variance. In such analyses, accurate matching of the cell type and sometimes even the population background between the experiment and VG values is likely to become an even higher priority.Recalibration changes the unit of differential expression from...
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Research: Distinct classes of lamina-associated domains are defined by differential patterns of repressive histone methylation
- Caden J. Martin,
- Elizabeth A. Oser,
- Prabakaran Nagarajan,
- Liudmila V. Popova,
- Benjamin D. Sunkel,
- Benjamin Z. Stanton,
- and Mark R. Parthun
Genome Res. September 2025 35: 1959-1974; Published in Advance August 5, 2025, doi:10.1101/gr.280380.124
...3K27me3, H3K14ac, H3K27ac, and H3K9ac in MEF cell lines derived from the same mouse colony, and cluster LADs based on the abundance and distribution of these features across LADs. We find that LADs fall into three groups, each enriched in a unique set of histone modifications and genomic features...
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Research: Accurate genotyping of three major respiratory bacterial pathogens with ONT R10.4.1 long-read sequencing
- Nora Zidane,
- Carla Rodrigues,
- Valérie Bouchez,
- Martin Rethoret-Pasty,
- Virginie Passet,
- Sylvain Brisse,
- and Chiara Crestani
Genome Res. August 2025 35: 1758-1766; Published in Advance June 2, 2025, doi:10.1101/gr.279829.124
...diagnostics and public health surveillance owing to their high throughput and low error rates (Fox et al. 2014; Pfeiffer et al. 2018). This has provided scientists worldwide with high-resolution data for bacterial strain subtyping, which is indispensable for accurate and reliable public health surveillance...
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Method: Inferring ancestry with the hierarchical soft clustering approach tangleGen
- Klara Elisabeth Burger,
- Solveig Klepper,
- Ulrike von Luxburg,
- and Franz Baumdicker
Genome Res. December 2024 34: 2244-2255; Published in Advance October 21, 2024, doi:10.1101/gr.279399.124
...the explainability of the method and allows to identify SNPs that differentiate between populations in the tangles tree. Concentrating on a smaller set of automatically inferred cluster-distinguishing SNPs can be beneficial for the analysis of large-scale data sets, such as biobanks. In addition, a cluster...
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Method: STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data
- Congcong Hu,
- Nana Wei,
- Jiyuan Yang,
- Hua-Jun Wu,
- and Xiaoqi Zheng
Genome Res. June 2025 35: 1415-1428; Published in Advance May 12, 2025, doi:10.1101/gr.280031.124
...in the same region (Fig. 6B). Based on the clustering results from the consensus strategies, we next explored the differentiation relationship between tumor and nontumor regions. By inferring trajectories and pseudotime in this region, we identified a path tracing from nontumor regions toward tumor regions...
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Method: Accurate assembly of circular RNAs with TERRACE
- Tasfia Zahin,
- Qian Shi,
- Xiaofei Carl Zang,
- and Mingfu Shao
Genome Res. September 2024 34: 1365-1370; Published in Advance July 26, 2024, doi:10.1101/gr.279106.124
.... Additionally, we could explore training a model with complete sequences of bona fide circRNAs, possibly sourced from established circRNA databases, to better differentiate between accurate and erroneous ones. An LSTM model may be used for such sequence-based training. We also could consider extending TERRACE...
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Method: Accurate and fast graph-based pangenome annotation and clustering with ggCaller
- Samuel T. Horsfield,
- Gerry Tonkin-Hill,
- Nicholas J. Croucher,
- and John A. Lees
Genome Res. September 2023 33: 1622-1637; Published in Advance August 24, 2023, doi:10.1101/gr.277733.123
...Accurate and fast graph-based pan annotation and clustering with ggCaller Samuel T. Horsfield1,2, Gerry Tonkin-Hill3, Nicholas J. Croucher1,4 and John A. Lees1,2,4 1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London W12...
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Method: BINDER achieves accurate identification of hierarchical TADs by comprehensively characterizing consensus TAD boundaries
- Yangyang Liu,
- Bingqiang Liu,
- and Juntao Liu
Genome Res. May 2025 35: 1194-1208; Published in Advance March 17, 2025, doi:10.1101/gr.279647.124
...structures, hierarchical TADs play important roles in epigenetic organization, transcriptional activity, gene regulation, and cell differentiation. Currently, it remains a highly challenging task to accurately identify hierarchical TADs in a computational manner. The key bottleneck for existing TAD callers...
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Method: Kernel-bounded clustering for spatial transcriptomics enables scalable discovery of complex spatial domains
- Hang Zhang,
- Yi Zhang,
- Kai Ming Ting,
- Jie Zhang,
- and Qiuran Zhao
Genome Res. February 2025 35: 355-367; Published in Advance February 5, 2025, doi:10.1101/gr.278983.124
...based on GMM (Dempster et al. 1977; Traag et al. 1996) assumes that each cluster is a mixture of Gaussian distributions. This requires modeling the parameters of the Gaussian distributions and the weights of their mixtures, and accurate estimations often require a substantial amount of data. However...
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